Leveraging untargeted metabolomics in combination with machine learning to uncover novel insights into bladder cancer

Abstract Background Untargeted metabolomics has emerged as a powerful approach to uncover metabolic dysregulation associated with cancer progression. When integrated with a machine learning strategy it facilitates the discovery of key metabolic pathways and predictive biomarkers with high diagnostic...

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Prif Awduron:	Abu Hena Mostafa Kamal, Vasanta Putluri, Tanmay Gandhi, Chandra Shekar R. Ambati, Chandra Sekhar Amara, Karthik Reddy Kami Reddy, Meredith Lauren Spradlin, Amrit Koirala, Sachin B. Jorvekar, Sandra L. Grimm, Dexue Fu, Krishna Parsawar, Felice de Jong, Chris Beecher, Subrata Sen, Seth P. Lerner, M. Minhaj Siddiqui, Yair Lotan, Livia S. Eberlin, Arun Sreekumar, Cristian Coarfa, Nagireddy Putluri
Fformat:	Artigo
Iaith:	Inglês
Cyhoeddwyd:	BMC 2026-04-01
Cyfres:	Cancer & Metabolism
Pynciau:	Untargeted metabolomics Orbitrap IQ-X Bladder cancer Machine learning
Mynediad Ar-lein:	https://doi.org/10.1186/s40170-026-00427-4
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